RLWM ACT-R RMSE model fitting and outcome analysis for meta-learning data

knitr::opts_chunk$set(
  comment = "#>", echo = FALSE, warning = FALSE, 
  message = FALSE, dpi = 300
 
)

library(magrittr)
library(ggpubr)

## Loading required package: ggplot2

library(MLmetrics)

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## Attaching package: 'MLmetrics'

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##     Recall

library(matlab)

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## Attaching package: 'matlab'

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## The following object is masked from 'package:base':
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library(jsonlite)
library(tidyverse)

## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──

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## ✔ tidyr   1.2.0     ✔ stringr 1.5.0
## ✔ readr   2.1.2     ✔ forcats 0.5.1
## ✔ purrr   0.3.4

## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
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theme_set(theme_pubclean(base_size = 12)) 

#> # A tibble: 4 × 2
#>   model     n
#>   <chr> <int>
#> 1 LTM      55
#> 2 META     20
#> 3 RL        3
#> 4 STR      15